Gartner Cash Flow To Debt Ratio from 2010 to 2024
| IT Stock | USD 432.20 3.75 0.86% |
Cash Flow To Debt Ratio | First Reported 2010-12-31 | Previous Quarter 0.45202674 | Current Value 0.43 | Quarterly Volatility 0.71762908 |
Check Gartner financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Gartner's main balance sheet or income statement drivers, such as Depreciation And Amortization of 83.5 M, Interest Expense of 139.4 M or Total Revenue of 6.2 B, as well as many indicators such as Price To Sales Ratio of 6.34, Dividend Yield of 0.0344 or PTB Ratio of 54.98. Gartner financial statements analysis is a perfect complement when working with Gartner Valuation or Volatility modules.
Gartner | Cash Flow To Debt Ratio |
Latest Gartner's Cash Flow To Debt Ratio Growth Pattern
Below is the plot of the Cash Flow To Debt Ratio of Gartner over the last few years. It is Gartner's Cash Flow To Debt Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Gartner's overall financial position and show how it may be relating to other accounts over time.
| Cash Flow To Debt Ratio | 10 Years Trend |
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Cash Flow To Debt Ratio |
| Timeline |
Gartner Cash Flow To Debt Ratio Regression Statistics
| Arithmetic Mean | 0.73 | |
| Geometric Mean | 0.49 | |
| Coefficient Of Variation | 98.43 | |
| Mean Deviation | 0.53 | |
| Median | 0.43 | |
| Standard Deviation | 0.72 | |
| Sample Variance | 0.51 | |
| Range | 2.7299 | |
| R-Value | (0.71) | |
| Mean Square Error | 0.27 | |
| R-Squared | 0.51 | |
| Significance | 0 | |
| Slope | (0.11) | |
| Total Sum of Squares | 7.21 |
Gartner Cash Flow To Debt Ratio History
About Gartner Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Gartner income statement, its balance sheet, and the statement of cash flows. Gartner investors use historical funamental indicators, such as Gartner's Cash Flow To Debt Ratio, to determine how well the company is positioned to perform in the future. Although Gartner investors may use each financial statement separately, they are all related. The changes in Gartner's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Gartner's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Gartner Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Gartner. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Cash Flow To Debt Ratio | 0.45 | 0.43 |
Pair Trading with Gartner
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Gartner position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Gartner will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Gartner could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gartner when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Gartner - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Gartner to buy it.
The correlation of Gartner is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Gartner moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gartner moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Gartner can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Gartner Stock Analysis
When running Gartner's price analysis, check to measure Gartner's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gartner is operating at the current time. Most of Gartner's value examination focuses on studying past and present price action to predict the probability of Gartner's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gartner's price. Additionally, you may evaluate how the addition of Gartner to your portfolios can decrease your overall portfolio volatility.